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Saputra, Rahmad Surya Hadi
Politeknik Kelautan Dan Perikanan Karawang
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Literature Study: Potential of 3D Printing Technology in the World of Mechanical Engineering and Manufacturing Santoso, Ari Beni; Saputra, Rahmad Surya Hadi
Journal of Renewable Engineering Vol. 2 No. 3 (2025): JORE - June
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vkb36614

Abstract

This study discusses the paradigm shift in mechanical engineering due to the adoption of 3D printing technology as part of the industrial revolution 4.0. This additive manufacturing technology offers advantages in terms of design complexity, production efficiency, and cost flexibility, but also raises technical challenges such as material anisotropy, surface roughness, and process parameter control. Through a descriptive qualitative approach based on literature studies, this study explores the impact of 3D printing on the structure of the manufacturing industry, performance-based design, and the need for reform in engineering education. Data sources are taken from scientific journals, academic books, and technical reports from the last decade (2014–2024), with a thematic analysis of technology applications, implementation challenges, and implications for mechanical engineering curricula. The results show that although 3D printing has fundamentally changed the design and production process, its integration into the industry is still limited by conventional supply chain structures and lack of human resource readiness. This study emphasizes the importance of transforming the engineering education system towards a digital-based interdisciplinary approach, as well as the need for critical and contextual technology adoption. Thus, 3D printing does not only act as a production tool, but also as a catalyst for systemic change in mechanical engineering and manufacturing.
Literature Review: Integration of Hybrid Renewable Energy Systems in Remote Areas A, Sulaiman; Minarti, Minarti; Saputra, Rahmad Surya Hadi
Journal of Renewable Engineering Vol. 2 No. 4 (2025): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/ex26fj18

Abstract

The availability of equitable and sustainable energy in remote areas is a major challenge for national development, primarily due to limited infrastructure and electricity access from conventional grids. Hybrid energy systems that combine renewable energy sources such as solar, wind, and microhydro with energy storage or diesel backup have emerged as an adaptive solution to address energy needs in off-grid areas. This study uses a qualitative approach based on literature to explore relevant hybrid energy system integration practices, challenges, and models across various geographic and social contexts. The study identifies that the success of hybrid system implementation is determined not only by its technological configuration but also by local social, economic, and institutional factors. Technological advances such as the Internet of Things (IoT) and smart energy management systems have contributed to improving system efficiency and reliability. However, obstacles remain in the form of limited funding, low public energy literacy, and weak supporting policies at the regional level. Through a thematic synthesis of the literature from the past five years, this study formulates a local energy ecosystem-based integration model that encompasses modular technology, multilevel policies, and community empowerment. These results are expected to serve as a strategic reference in promoting a just and sustainable energy transition in underdeveloped regions.
PENERAPAN HAZARD ANALYSIS AND CRITICAL CONTROL POINT (HACCP) PADA PENGOLAHAN MATSUKASA CUTTLEFISH BEKU DI PT. DUA PUTRA Saputra, Sandy; Panjaitan, Pola ST; Saputra, Rahmad Surya Hadi; Soeprijadi, Liliek; Soeharso, Agusta Putri Balqis Linda; Ningsih, Trisna
Proceedings of The Vocational Seminar on Marine & Inland Fisheries Volume 3 Nomor 1 Tahun 2026
Publisher : Politeknik Kelautan dan Perikanan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/voc_seminar.v3i1.20720

Abstract

Ikan tuna adalah salah satu hasil perikanan yang memiliki nilai ekonomis tinggi, dan banyak dikomsumsi lokal maupun sebagai komoditas ekspor. Ikan tuna memiliki faktor penentu sebagai primadona ekspor dalam perdagangan internasional. Penelitian ini dilakukan untuk mengamati Good Manufacturing Practices (GMP) dan Sanitation Standard Operating Procedures (SSOP) pada proses pengolahan tuna loin masak beku. Metode kerja dengan observasi mengikuti langsung proses pengolahan mulai dari penerimaan tuna beku, sampai distribusi produk tuna loin masak beku. Pengujian mutu dilakukan pada mutu organoleptik, histamin, mikrobiologi, dan suhu, Pengolahan data dengan metode analisa kuantitatif dan kualitatif. Hasil pengujian organoleptik tuna beku adalah 8.0 dan tuna loin masak beku adalah 8.0. Nilai ALT  tuna  tuna  loin  masak  beku  tertinggi  6,5  x  10⁴ ALT  kol/g,  memenuhi  standar  perusahaan  dan SNI. Hasil uji histamin pada tuna beku dan tuna loin masak beku tertinggi 14,3 ppm dan 16,4 ppm, masih dalam kisaran batas aman yang dipersyaratkan oleh Uni Eropa. Penerapan suhu, GMP dan SSOP telah diterapkan dengan baik oleh perusahaan sesuai dengan SNI 7968 : 2014 tuna loin masak beku.
Profil Sensori Abon Ikan Komersial Menggunakan Metode Check-All-That-Apply (CATA) Romauli Juliana Napitupulu; Rahmad Surya Hadi Saputra; Liliek Soperijadi; Pola S.T. Panjaitan; Anasri Tanjung; Agusta Putri Balqis L. Soeharso; Trisna Ningsih; Tina F. C. Panjaitan; Resmi R Siregar
Jurnal Penyuluhan Perikanan dan Kelautan Vol 20, No 1 (2026)
Publisher : Program Studi Penyuluhan Perikanan Politeknik Ahli Usaha Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33378/jppik.v20i1.656

Abstract

Ikan merupakan bahan pangan yang mudah mengalami penurunan mutu sehingga perlu diolah menjadi produk bernilai tambah seperti abon ikan. Meskipun abon ikan banyak dipasarkan secara komersial, informasi mengenai atribut sensori spesifik yang menentukan preferensi konsumen serta kaitannya dengan stabilitas oksidatif produk masih terbatas. Penelitian ini bertujuan untuk mengidentifikasi atribut sensori yang memengaruhi preferensi konsumen terhadap abon ikan komersial serta menentukan profil sensori ideal menggunakan pendekatan Check-All-That-Apply (CATA) yang dikombinasikan dengan penalty analysis dan pengukuran stabilitas oksidatif. Empat sampel abon ikan komersial berbahan baku ikan lele dan ikan bandeng dievaluasi oleh 60 panelis menggunakan uji hedonik dan kuesioner CATA. Data dianalisis menggunakan uji Cochran’s Q, Correspondence Analysis (CA), Principal Coordinate Analysis (PCoA), dan Penalty Analysis, sedangkan stabilitas oksidatif ditentukan melalui pengukuran nilai Thiobarbituric Acid (TBA). Hasil menunjukkan bahwa atribut warna cokelat tua, aroma khas abon, dan rasa gurih/umami merupakan atribut utama yang berkontribusi positif terhadap tingkat kesukaan konsumen (must have). Sebaliknya, atribut warna kuning keemasan, aroma ikan, dan rasa ikan goreng teridentifikasi sebagai atribut yang menurunkan penerimaan konsumen (must not have). Analisis PCoA menunjukkan bahwa sampel abon ikan lele A531 memiliki karaktersitik sensori yang paling mendekati profil ideal konsumen. Nilai TBA berkisar antara 0,13-0,549 mg MDA/kg, yang masih berada di bawah batas ketengikan sehingga menunjukkan stabilitas oksidatif yang baik. Hasil ini mengindikasikan bahwa metode CATA yang dikombinasikan dengan penalty analysis efektif dalam memetakan atribut sensori ideal dan dapat digunakan sebagai dasar pengembangan serta standardisasi mutu produk abon ikan komersial yang sesuai dengan preferensi konsumen.
Artificial Intelligence Optimization in Renewable Energy Systems Rahmad Surya Hadi Saputra
Journal of Renewable Engineering Vol. 3 No. 4 (2026): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/wth1bt02

Abstract

The accelerating global transition toward decarbonized power systems has positioned renewable energy—particularly solar and wind as the backbone of future electricity supply, yet the inherent variability of these resources continues to challenge grid reliability and economic viability. Artificial intelligence (AI) has emerged as a decisive enabler for overcoming this variability by improving forecasting precision, enabling adaptive control, and supporting predictive maintenance across renewable energy assets. This article synthesizes findings from twenty-five peer-reviewed studies published between 2021 and 2026 to examine how machine learning, deep learning, reinforcement learning, and metaheuristic algorithms are optimizing renewable energy systems. A structured literature review methodology was applied, covering identification, screening, eligibility, and thematic synthesis stages. The findings indicate that deep learning architectures such as long short-term memory networks and convolutional neural networks substantially reduce forecasting error, while reinforcement learning and IoT-integrated frameworks improve real-time dispatch and resource allocation. Predictive maintenance applications report downtime reductions of up to twenty-five percent and inspection-time savings approaching ninety percent. The review further identifies a genuine novelty: existing studies remain fragmented across isolated technical domains, whereas an integrated, system-level framework linking forecasting, control, and maintenance intelligence is still underdeveloped. The article concludes by outlining research directions toward standardized datasets, explainable models, and federated architectures for scalable AI-enabled renewable energy optimization.
Implementation of Reflective Learning Logs in Supporting Students' Learning Development Muhammad Faizul Husnayain; Muhammad Rizal Ansori; Rahmad Surya Hadi Saputra; Paryadi Paryadi
Journal of Education Review Provision Vol. 6 No. 2 (2026): Journal of Education Review Provision
Publisher : Pusat Studi Pembangunan dan Pemberdayaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55885/jerp.v6i2.1091

Abstract

This study describes the implementation of reflective learning logs based on Learning Outcome Design (LOD) at SMA Negeri 1 Purwokerto and explores perceived and observed developments in students’ learning. A qualitative descriptive, implementation-focused design involved three subject teachers, fifteen Grade XI students, and one principal. The six-month intervention used structured learning logs as the principal reflective tool, complemented by reflective discussions, think-pair-share, peer feedback, and portfolio review. Data were generated through observation, interviews, documentation, and focus group discussions and analyzed using Miles and Huberman’s interactive model, with source and method triangulation and member checking. Findings show implementation through outcome-oriented preparation, guided log writing, progressive scaffolding, differentiated support, and teacher facilitation. Participants and classroom evidence indicated developments in conceptual explanation, critical examination of information, metacognitive awareness, and learning autonomy. Structured reflection also helped students connect new knowledge with prior experience and evaluate progress against explicit learning outcomes. These findings represent qualitative patterns of perceived and observed development rather than evidence of causal effectiveness.
Co-Authors A, Sulaiman Ade Hermawan Adi, Catur Pramono Agusta Putri Balqis L. Soeharso Akbar, Raden Mohamad Adha Anasri Tanjung Anasri, Anasri Ari Beni Santoso Ari Purbayanto Basino Berbudi Wibowo Budhi Hascaryo Iskandar Chin, Jacky Desrial Dian Sutono, Dian Haris, Dendi Hidayat, Azmi Pebriana Istrianto, Kadi Judijanto, Loso Liliek Soperijadi Minarti Minarti Muhammad Faizul Husnayain Muhammad Rizal Ansori Mukhaimin, Iman Napitupulu, Romauli Juliana Napitupulu, Romaulli Juliana Panjaitan, Pola Sabar Tomohon Panjaitan, Pola Sabar Tumohom Panjaitan, Pola Sabar Tumohon Panjaitan, Pola ST Paryadi Paryadi Perangin-angin, Robet Piasari, Roza Prasetyono, Untung Resmi R Siregar Risdianto, Anauta Lungiding Angga Romauli Juliana Napitupulu SANDY SAPUTRA Sari, Ratih Purnama Soeharso, Agusta Putri Balqis Linda Soeprijadi, Liliek Sukma Budi Prasetyawati Surharyanto Tahir, Usman Tanjung, Anasri Thohirin, Muh Tina F. C. Panjaitan Trisna Ningsih Trisna Ningsih Vita Rumanti Kurniawati